Many past machine learning approaches to microplastic detection have been criticised for relying on idealised datasets ...

As customer expectations evolve, businesses are seeking more advanced AI solutions that can bridge the gap between automated ...

Unlike conventional black-box AI models that flag anomalies without explanation, IFAT produces decision trees that map the ...

The patient knowledge gap is considered to be a critical shortcoming for the medical community, particularly at a time when ...

While the public focuses on model size or benchmark wins, the layer where actual decisions happen gets far less attention.

Kubit, the leading customer journey analytics platform, today announced the launch of Ask Kubit, a conversational AI ...

It is important that organizations understand who trains their AI systems, what data was used and, just as importantly, what went into their algorithms’ recommendations. A high-quality explainable AI ...

Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today announced ...

A novel image-based deep learning approach achieves high accuracy and interpretability, offering potential for clinical ...

Today, CSA is releasing the official mapping of the AI Controls Matrix (AICM v1.0) to ISO/IEC 42001:2023—with companion ...

Explainable AI (XAI) is a field of AI that focusses on developing techniques to make AI models more understandable to humans.